Web-based GIS technologies for monitoring and analysis of spatio-temporal processes. Issue 1 (18th April 2016)

• Record Type: Journal Article
• Authors: Gitis, Valery; Derendyaev, Alexander; Weinstock, Arkady
• Is Part Of: International journal of web information systems. Volume 12:Issue 1(2016)
• Page Start: 102
• Page End: 124
• Publication Date: 2016-04-18
• Subjects: Environmental monitoring -- Earthquake prediction -- Emergency oil spill -- Geoinformation analysis -- Spatio-temporal processes; World Wide Web -- Periodicals; Internet -- Periodicals; Information storage and retrieval systems -- Periodicals; 004.678
• DOI: 10.1108/IJWIS-10-2015-0032
• Languages: English
• ISSNs: 1744-0084

Abstract

Abstract : Purpose: This paper aims to describe two Web-based technologies of geographic information systems (GIS) to be used in monitoring and analysis of environmental processes, proposed by the authors. The technologies analyze the temporal aspect of the process together with the spatial aspect, which defers them from most other works on environmental processes, as these are usually limited either to spatial statistics or to temporal statistics. The approach is instrumental in dynamically finding the relationships between the processes and predicting critical incidents. Design/methodology/approach: Often, the study of natural processes is limited to the analysis of their spatial properties presented by individual time series. The principal idea of this approach consists in supplementing this traditional analysis with the analysis of time fields. In this way, the authors are able to analyze temporal and spatial properties of environmental processes together. Findings: The paper presents two technologies which provide the analysis of spatial and temporal data obtained in natural environment monitoring. The discussed spatio-temporal data mining methods are shown to enable the research into environmental processes, and the solution of practical issues of critical situation forecasts. Originality/value: The paper discussed Web-based GIS technologies for the analysis of the temporal aspect of the environmental process together with the spatial aspect. Application examples demonstrate the ability of this approach to find the relationships in dynamics of the processes and to predict critical incidents.